Differential privacy for the analyst via private equilibrium computation
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Publication:5495804
DOI10.1145/2488608.2488651zbMath1293.68099arXiv1211.0877OpenAlexW2127208184MaRDI QIDQ5495804
Aaron Roth, Justin Hsu, Jonathan R. Ullman
Publication date: 7 August 2014
Published in: Proceedings of the forty-fifth annual ACM symposium on Theory of Computing (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1211.0877
Database theory (68P15) 2-person games (91A05) Applications of game theory (91A80) Authentication, digital signatures and secret sharing (94A62)
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Differentially private distributed algorithms for stochastic aggregative games ⋮ Computing payoff allocations in the approximate core of linear programming games in a privacy-preserving manner ⋮ Private Matchings and Allocations
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